activity
20212024
most citedCAPE: Camera View Position Embedding for Multi-View 3D Object Detection

3 citations · 9 across the 8 of their papers we have counts for

collaborators

8 papers

math.OC20243 cited

Achieving violation-free distributed optimization under coupling constraints

Changxin Liu, Xiao Tan, Xuyang Wu +2

Constraint satisfaction is a critical component in a wide range of engineering applications, including but not limited to safe multi-agent control and economic dispatch in power sy…

cs.CV2023

Forward Flow for Novel View Synthesis of Dynamic Scenes

Xiang Guo, Jiadai Sun, Yuchao Dai +6

This paper proposes a neural radiance field (NeRF) approach for novel view synthesis of dynamic scenes using forward warping. Existing methods often adopt a static NeRF to represen…

cs.CV2023

Multi-Modal 3D Object Detection by Box Matching

Zhe Liu, Xiaoqing Ye, Zhikang Zou +5

Multi-modal 3D object detection has received growing attention as the information from different sensors like LiDAR and cameras are complementary. Most fusion methods for 3D detect…

cs.CV20233 cited

CAPE: Camera View Position Embedding for Multi-View 3D Object Detection

Kaixin Xiong, Shi Gong, Xiaoqing Ye +5

In this paper, we address the problem of detecting 3D objects from multi-view images. Current query-based methods rely on global 3D position embeddings (PE) to learn the geometric…

cs.CV2023

Improving Video Retrieval by Adaptive Margin

Feng He, Qi Wang, Zhifan Feng +4

Video retrieval is becoming increasingly important owing to the rapid emergence of videos on the Internet. The dominant paradigm for video retrieval learns video-text representatio…

cs.CV20231 cited

StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection

Zhe Liu, Xiaoqing Ye, Xiao Tan +2

In this paper, we propose a cross-modal distillation method named StereoDistill to narrow the gap between the stereo and LiDAR-based approaches via distilling the stereo detectors…